Blog

A Step by Step Guide for Predictive Modeling Using R: Part 1

R has been the language of choice for predictive analysis due to its innumerable packages and strong developer community.  In this series, we will demonstrate how to use R in various stages of predictive analysis and discuss the packages available in R for generating a predictive model for one of the datasets available in the UC Irvine machine learning dataset.

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Meet the Team: CQLer Abraham Sangha

Abraham’s first taste of programming was writing his own violent choose-your-adventure game on his TI-82 calculator during algebra class in high school. He studied engineering at the University of Illinois at Urbana-Champaign and has solved problems using software in domains including advertising and accounting. He is continually chasing the goal of writing clean code.

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